Update app.py

app.py

@@ -9,7 +9,7 @@ from transformers import pipeline
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 # load speech translation checkpoint
-asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-tiny", device=device)
+asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v3-turbo", device=device)
 
 # load text-to-speech checkpoint and speaker embeddings
 tts_model = Text2Speech.from_pretrained("espnet/kan-bayashi_ljspeech_tts_train_tacotron2_raw_phn_tacotron_g2p_en_no_space_train.loss.best")